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Coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis

OBJECTIVE: In this study, we evaluated obesity as a single risk factor for coronary artery disease (CAD), along with the synergistic effect of obesity and other risk factors. METHODS: A retrospective study of 7,567 patients admitted to hospital for chest pain from 2005 to 2014 and underwent cardiac...

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Autores principales: Alkhawam, Hassan, Nguyen, James, Sayanlar, Jason, Sogomonian, Robert, Desai, Ronak, Jolly, JoshPaul, Vyas, Neil, Syed, Umer, Homsi, Maher, Rubinstein, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942517/
https://www.ncbi.nlm.nih.gov/pubmed/27406452
http://dx.doi.org/10.3402/jchimp.v6.31483
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author Alkhawam, Hassan
Nguyen, James
Sayanlar, Jason
Sogomonian, Robert
Desai, Ronak
Jolly, JoshPaul
Vyas, Neil
Syed, Umer
Homsi, Maher
Rubinstein, David
author_facet Alkhawam, Hassan
Nguyen, James
Sayanlar, Jason
Sogomonian, Robert
Desai, Ronak
Jolly, JoshPaul
Vyas, Neil
Syed, Umer
Homsi, Maher
Rubinstein, David
author_sort Alkhawam, Hassan
collection PubMed
description OBJECTIVE: In this study, we evaluated obesity as a single risk factor for coronary artery disease (CAD), along with the synergistic effect of obesity and other risk factors. METHODS: A retrospective study of 7,567 patients admitted to hospital for chest pain from 2005 to 2014 and underwent cardiac catheterization. Patients were divided into two groups: obese and normal with body mass index (BMI) calculated as ≥30 kg/m(2) and <25, respectively. We assessed the modifiable and non-modifiable risk factors in obese patients and the degree of CAD. RESULTS: Of the 7,567 patients who underwent cardiac catheterization, 414 (5.5%) had a BMI ≥30. Of 414 obese patients, 332 (80%) had evidence of CAD. Obese patients displayed evidence of CAD at the age of 57 versus 63.3 in non-obese patients (p<0.001). Of the 332 patients with CAD and obesity, 55.4% had obstructive CAD versus 44.6% with non-obstructive CAD. In obese patients with CAD, male gender and history of smoking were major risk factors for development of obstructive CAD (p=0.001 and 0.01, respectively) while dyslipidemia was a major risk factor for non-obstructive CAD (p=0.01). Additionally, obese patients with more than one risk factor developed obstructive CAD compared to non-obstructive CAD (p=0.003). CONCLUSION: Having a BMI ≥30 appears to be a risk factor for early development of CAD. Severity of CAD in obese patients is depicted on non-modifiable and modifiable risk factors such as the male gender and smoking or greater than one risk factor, respectively.
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spelling pubmed-49425172016-08-01 Coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis Alkhawam, Hassan Nguyen, James Sayanlar, Jason Sogomonian, Robert Desai, Ronak Jolly, JoshPaul Vyas, Neil Syed, Umer Homsi, Maher Rubinstein, David J Community Hosp Intern Med Perspect Review Article OBJECTIVE: In this study, we evaluated obesity as a single risk factor for coronary artery disease (CAD), along with the synergistic effect of obesity and other risk factors. METHODS: A retrospective study of 7,567 patients admitted to hospital for chest pain from 2005 to 2014 and underwent cardiac catheterization. Patients were divided into two groups: obese and normal with body mass index (BMI) calculated as ≥30 kg/m(2) and <25, respectively. We assessed the modifiable and non-modifiable risk factors in obese patients and the degree of CAD. RESULTS: Of the 7,567 patients who underwent cardiac catheterization, 414 (5.5%) had a BMI ≥30. Of 414 obese patients, 332 (80%) had evidence of CAD. Obese patients displayed evidence of CAD at the age of 57 versus 63.3 in non-obese patients (p<0.001). Of the 332 patients with CAD and obesity, 55.4% had obstructive CAD versus 44.6% with non-obstructive CAD. In obese patients with CAD, male gender and history of smoking were major risk factors for development of obstructive CAD (p=0.001 and 0.01, respectively) while dyslipidemia was a major risk factor for non-obstructive CAD (p=0.01). Additionally, obese patients with more than one risk factor developed obstructive CAD compared to non-obstructive CAD (p=0.003). CONCLUSION: Having a BMI ≥30 appears to be a risk factor for early development of CAD. Severity of CAD in obese patients is depicted on non-modifiable and modifiable risk factors such as the male gender and smoking or greater than one risk factor, respectively. Co-Action Publishing 2016-07-06 /pmc/articles/PMC4942517/ /pubmed/27406452 http://dx.doi.org/10.3402/jchimp.v6.31483 Text en © 2016 Hassan Alkhawam et al. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Alkhawam, Hassan
Nguyen, James
Sayanlar, Jason
Sogomonian, Robert
Desai, Ronak
Jolly, JoshPaul
Vyas, Neil
Syed, Umer
Homsi, Maher
Rubinstein, David
Coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis
title Coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis
title_full Coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis
title_fullStr Coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis
title_full_unstemmed Coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis
title_short Coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis
title_sort coronary artery disease in patients with body mass index ≥30 kg/m(2): a retrospective chart analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942517/
https://www.ncbi.nlm.nih.gov/pubmed/27406452
http://dx.doi.org/10.3402/jchimp.v6.31483
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